Airdrop Games
Authors: Sotiris Georganas, Aggelos Kiayias, Paolo Penna
IJCAI 2025 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We observe experimentally (Figure 1) that lower costs α accelerates convergence to the desired high value region, while increasing rewards ρ helps to maintain the desired equilibrium (but it does not accelerate convergence). On the left, larger costs α increase the hitting time (100 repetitions 95% confidence). On the right, larger rewards values ρ help to maintain the dynamics above the threshold once it is reached. |
| Researcher Affiliation | Collaboration | Sotiris Georganas1,3 , Aggelos Kiayias2,1 and Paolo Penna1 1IOG 2University of Edinburgh 3City, University of London EMAIL, EMAIL, EMAIL |
| Pseudocode | No | The paper describes its models and dynamics using mathematical equations and textual explanations, but no structured pseudocode or algorithm blocks are provided. |
| Open Source Code | No | The paper does not contain an explicit statement about the release of source code, nor does it provide a link to a code repository. Mentions of '[Georganas et al., 2025]' refer to future or extended work, not code for the current paper. |
| Open Datasets | No | The paper presents a game-theoretic model and its analysis, including simulations of the model's dynamics. It does not use or refer to any publicly available real-world datasets for its experiments. |
| Dataset Splits | No | The paper does not use any external datasets for its analysis or simulations, therefore, no dataset splits are provided. |
| Hardware Specification | No | The paper does not specify any particular hardware used for running the simulations or analysis. |
| Software Dependencies | No | The paper does not provide details on specific software dependencies or their version numbers used in the research. |
| Experiment Setup | No | While the paper defines various model parameters such as costs (α), rationality level (β), and airdrop allocation (ρ), it does not explicitly provide the specific values of these parameters, nor other system-level settings, used to generate the experimental results presented in Figure 1. |